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Record W2966017254

The Care Economy: a new research framework

2019· preprint· fr· W2966017254 on OpenAlexaff
Ito Peng

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2019
Typepreprint
Languagefr
FieldSocial Sciences
TopicMigration, Aging, and Tourism Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSharing economyBusinessEconomicsComputer scienceWorld Wide Web
DOInot available

Abstract

fetched live from OpenAlex

Care economy refers to the sector of economic activities, both paid and unpaid, related to the provisions of social and material care, which contribute to nurturing and supporting the present and future populations. Broadly, it includes direct and indirect care of children, the elderly and the disabled, health care, education, and as well, financial and other personal and domestic services aimed at supporting and enhancing individual well-being. Although largely invisible and scarcely accounted in national account systems, such as GDP, care and care work is increasingly recognized as essential for the maintenance of capability and well-being of individuals, and for the functioning of society and the economy. In almost all high- and middle-income countries the combination of the shift from an industrial/manufacturing to a\nservice-based economy and the steady socio-demographic changes over the last several decades have made care economy an increasingly relevant social, economic and political issue today. Yet, despite growing awareness, the concept of the care economy remains ambiguous and the research on the topic germinal. \nThe objectives of this paper are to: 1) trace and elucidate the ideas around the care economy; 2) analyze key concepts and debates around the idea of the care economy that may contribute to future research; and 3) discuss a potential research and policy agenda for understanding care economies today. I draw mostly from feminist research within the fields of social policy and welfare states, economy, sociology and political economy, highlighting some of the key debates and areas of convergence.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.015
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.838
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.002
Scholarly communication0.0010.000
Open science0.0030.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.034
GPT teacher head0.308
Teacher spread0.274 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2019
Admission routes1
Has abstractyes

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